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Erschienen in: European Radiology 7/2019

11.03.2019 | Cardiac

Epicardial fat volume measured on nongated chest CT is a predictor of coronary artery disease

verfasst von: Yasunori Nagayama, Naoki Nakamura, Ryo Itatani, Seitaro Oda, Shinichiro Kusunoki, Hideo Takahashi, Takeshi Nakaura, Daisuke Utsunomiya, Yasuyuki Yamashita

Erschienen in: European Radiology | Ausgabe 7/2019

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Abstract

Objective

To investigate whether epicardial fat volume (EFV) quantified on ECG-nongated noncontrast CT (nongated-NCCT) could be used as a reliable and reproducible predictor for coronary artery disease (CAD).

Methods

One hundred seventeen subjects (65 men, mean age 66.6 ± 11.9 years) underwent coronary CT angiography (CCTA) and nongated-NCCT during a single session because of symptoms suggestive of CAD. Two observers independently quantified EFV on both images. Correlation between CCTA-EFV and nongated-NCCT-EFV was assessed using Pearson’s correlation coefficient and Bland–Altman plots. Inter-observer agreement was analyzed using concordance correlation coefficients (CCC). Coronary risk factors including EFV were compared between CAD-positive (> 50% stenosis) and CAD-negative groups. The association between EFV and CAD was analyzed using multivariate logistic regression. ROC analysis was performed, and AUC was compared with DeLong’s method.

Results

Seventy-four subjects were diagnosed with CAD. An excellent correlation was noted between CCTA-EFV and nongated-NCCT-EFV (r = 0.948, p < 0.001), despite the systematic difference between both measurements (mean bias, 1.26). Inter-observer agreement was nearly perfect (CCC, 0.988 and 0.985 for CCTA and nongated-NCCT, respectively, p < 0.001). Significant differences were noted between subjects with versus without CAD in age, hypertension, and EFV on both types of images (p ≤ 0.026). Multivariate analysis revealed that increased EFV on CCTA (odds ratio 1.185, p = 0.003) and nongated-NCCT (odds ratio 1.20, p = 0.015) was independently associated with CAD. There was no significant difference between CCTA-EFV and nongated-NCCT-EFV in AUC for the prediction of CAD (0.659 vs 0.665, p = 0.706).

Conclusions

Despite the absence of ECG gating, EFV measured on NCCT may serve as a reproducible predictor for CAD with accuracy equivalent to EFV measured on CCTA.

Key Points

Despite the absence of ECG gating, the EFV on NCCT provides nearly perfect inter-observer reproducibility and shows excellent correlation with measurements on gated CCTA.
EFV on nongated-NCCT may serve as an independent biomarker for predicting coronary artery disease with accuracy equivalent to that of EFV on gated CCTA.
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Metadaten
Titel
Epicardial fat volume measured on nongated chest CT is a predictor of coronary artery disease
verfasst von
Yasunori Nagayama
Naoki Nakamura
Ryo Itatani
Seitaro Oda
Shinichiro Kusunoki
Hideo Takahashi
Takeshi Nakaura
Daisuke Utsunomiya
Yasuyuki Yamashita
Publikationsdatum
11.03.2019
Verlag
Springer Berlin Heidelberg
Erschienen in
European Radiology / Ausgabe 7/2019
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-019-06079-x

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